AI model comparison

GLM 5.1 vs GLM 5 Turbo

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks.

Input / 1M
$0.97
Output / 1M
$3.04
Context
205K

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.

Input / 1M
$1.20
Output / 1M
$4
Context
203K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

z-ai logo

GLM 5.1

1.3x cheaper for a typical chat

Higher intelligence score

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GLM 5 Turbo

26.6 vs 26.1 on Artificial Analysis

Larger context window

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GLM 5.1

205K vs 203K tokens

Newer release

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GLM 5.1

Released April 7, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 5.126.1
z-ai logoGLM 5 Turbo26.6

Coding index

z-ai logoGLM 5.155.8
z-ai logoGLM 5 TurboNot available

Agentic index

z-ai logoGLM 5.123.9
z-ai logoGLM 5 TurboNot available

Pricing

GLM 5.1 vs GLM 5 Turbo API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 5.1z-ai logoGLM 5 Turbo
Input tokensPer 1M tokens$0.97$1.20
Output tokensPer 1M tokens$3.04$4
Cached input (read)Per 1M tokens$0.18$0.24
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

z-ai logoGLM 5.1$3.45
z-ai logoGLM 5 Turbo$4.40

Coding task

30K in, 4K out

z-ai logoGLM 5.1$41.12$17.53 cached
z-ai logoGLM 5 Turbo$52$23.20 cached

Long document summary

150K in, 2K out

z-ai logoGLM 5.1$150.97$32.98 cached
z-ai logoGLM 5 Turbo$188$44 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricz-ai logoGLM 5.1z-ai logoGLM 5 Turbo
Context window205K tokens203K tokens
Max output128K tokens131K tokens
Input typesTextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateApril 7, 2026March 15, 2026

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 5.1z-ai logoGLM 5 Turbo
Tool callingSupportedSupported
Structured outputsSupportedNot supported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedNot supported
Deterministic seedSupportedNot supported
Verbosity controlNot supportedNot supported

Our take

GLM 5.1 is 1.3x cheaper for a typical chat. GLM 5 Turbo scores higher on the Artificial Analysis Intelligence Index (26.6 vs 26.1). GLM 5.1 has the larger context window (205K vs 203K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is GLM 5.1 or GLM 5 Turbo cheaper?

GLM 5.1 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.1 costs $0.97 per 1M input tokens and $3.04 per 1M output tokens, while GLM 5 Turbo costs $1.20 per 1M input tokens and $4 per 1M output tokens.

Which has a bigger context window, GLM 5.1 or GLM 5 Turbo?

GLM 5.1 supports up to 205K tokens of context, compared with 203K for GLM 5 Turbo.

Is GLM 5.1 smarter than GLM 5 Turbo?

On the Artificial Analysis Intelligence Index, GLM 5.1 scores 26.1 and GLM 5 Turbo scores 26.6, putting GLM 5 Turbo ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GLM 5.1 and GLM 5 Turbo at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.1 and GLM 5 Turbo answer side by side and keep the better response.

z-ai logoz-ai logo

Why choose? Ask both.

Send one prompt to GLM 5.1 and GLM 5 Turbo at the same time. Compare the answers side by side and keep the best one.